Learning-driven load frequency control for islanded
To address the random power disturbances introduced by a large amount of renewable energy, this paper proposes a Learning-Driven Load
Physics-informed Convolutional Neural Network for Microgrid
Abstract—The variability of renewable energy generation and the unpredictability of electricity demand create a need for real-time economic dispatch (ED) of assets in microgrids. However, solving
Microgrids can secure electricity supply during disasters | World
Renewables-based microgrids and peer-to-peer (P2P) energy trading can boost energy security as they are self-sufficient and run independent of large grids.
A Deep Transfer Convolutional Neural Network Framework for
This paper proposes a Deep Transfer Convolutional Neural Network (DTCNN) framework for microgrid fault detection, leveraging a pretrained VGG-16 model to enhance feature extraction
These Dutch microgrid communities can supply 90% of their energy
Local communities generating their own power could become 90% energy self-sufficient, with potential to be fully self-reliant in the future, according to a Dutch study.
What are microgrids – and how can they help with power cuts?
Microgrids can step in when the main electricity grid fails. And as they can be powered by renewables, they are a sustainable and affordable option, too.
Backward neural network (BNN) based multilevel control for
This study proposed a new control technique for DC microgrids (MG) that uses a backward neural network (BNN). The goal is to balance load distribution while regulating voltage, without
5 facts you should know about the Strait of Hormuz
Normally, a fifth of global gas and oil trade passes through this chokepoint. That''s 20 million barrels of oil a day. But why are people talking so much about this one small waterway - and how
The small island states making big strides towards net zero
Pacific small island states, contributing only 0.03% of global emissions, are leading with ambitious renewable energy projects and net-zero goals by 2050.
Scalable Neural Network Control for Nonlinear DC Microgrids Under
To address this issue, this article proposes a scalable neural network control strategy for nonlinear DCmGs with CPLs, enabling seamless PnP operations of DGUs.
The start-up tackling Nigeria''s reliable power challenge | World
Amid an electricity crisis, many Nigerian small businesses run on petrol generators. This solar-microgrid start-up is working to connect them to clean energy.
The Future of Jobs Report 2025 | World Economic Forum
Technological change, geoeconomic fragmentation, economic uncertainty, demographic shifts and the green transition – individually and in combination are among the major drivers
Neural network-assisted integration of renewable
This study examines the incorporation of renewable energy sources into microgrids using neural network-assisted optimization methods. The
Neural Network Algorithm with Reinforcement Learning for Microgrid
This study introduces an innovative soft computing/metaheuristic algorithm, the reinforcement learning neural network algorithm (RLNNA), strategically applied to optimize the
An efficient safety prediction and control strategy using fuzzy neural
The simulation results generated by MATLAB Simulink show how well the three proposed microgrid stability strategies—PID, artificial neural network, and fuzzy logic—perform.
Physics-informed convolutional neural network for microgrid economic
This paper proposes a physics-inspired machine learning approach via convolutional neural networks (CNN) for solving the ED problem in real time. Due to the time-series nature of
How to finance battery energy storage | World Economic Forum
Battery energy storage systems can address the challenge of intermittent renewable energy. But innovative financial models are needed to encourage deployment.
This bike path in the Netherlands is made from plastic waste
Dutch cyclists rode down the world''s first bike path made entirely of discarded plastic this week, in a move aimed at reducing the millions of tonnes wasted every year.
How buildings can solve energy security as demands surge
Surging energy demands and prices of buildings are turning leaders to efficiency retrofits to reduce energy costs and improve long-term energy security.